A shape-based image retrieval method using salient edges

Signal Processing: Image Communication

Volumn 18, Issue 2, 2003, Pages 141-156

  Han, Jun Wei ^a   Guo, Lei ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Content based image retrieval (CBIR); Edge curve; Image database; Integrated salient edge matching (ISEM); Salient edge; Shape

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; DIGITAL LIBRARIES; FEATURE EXTRACTION; MULTIMEDIA SYSTEMS;

IMAGE DATABASES;

CONTENT BASED RETRIEVAL;

EID: 0037292049     PISSN: 09235965     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0923-5965(02)00116-9     Document Type: Article

References (34)

1. Bober M. MPEG-7 visual shape descriptors. IEEE Trans. Circuits Systems Video Technol. 11(6):2001;716-719.
2. C. Carson, M. Thomas, S. Belongie, J.M. Hellerstein, J. Malik, Blobworld: a system for region-based image indexing and retrieval, in: Proceedings of the Visual Information Systems, Amsterdam, The Netherlands, June 1999, pp. 509-516.
3. Chans Y., Lei Z.B., Lopresti D., Kung S.Y. A feature-based approach for image retrieval by sketch. Proc. SPIE. 3430:1998;72-82.
4. A. Del Bimbo, P. Pala, S. Santini, Image retrieval by elastic matching of shapes and image patterns, in: Proceedings of the IEEE Multimedia, Hiroshima, Japan, 1996, pp. 215-218.
5. Farag A.A., Delp E.J. Edge linking by sequential search. Pattern Recognition. 28(5):1995;611-633.
6. Flickner M., Sawhney H.et al. Query by image and video content. the QBIC system IEEE Comput. 28(9):1995;23-32.
7. Fuh C.S., Cho S.W., Essig K. Hierarchical color image region segmentation for content-based image retrieval system. IEEE Trans. Image Process. 9(1):2000;156-162.
8. Grosky W.J., Mehrotra R. Index-based object recognition in pictorial data management. Comput. Vision Graph. Image Process. 52(3):1990;416-436.
9. Y.H. Gu, T. Tjahjadi, Corner-based feature extraction for object retrieval, in: Proceedings of the IEEE Conference on Image Processing, Kobe, Japan, 1999, pp. 119-123.
10. Gupta A., Jain R. Visual information retrieval. Comm. ACM. 40(5):1997;70-79.
11. K. Hirata, T. Kato, Query by visual example, Advances in Database Technology EDBT'92, Third International Conference on Extending Database Technology, New York, USA, March 1992.
12. Hsieh I.S., Fan K.C. Multiple classifiers for color flag and trademark image retrieval. IEEE Trans. Image Process. 10(6):2001;938-950.
13. Jain A., Vailaya A. Image retrieval using color and shape. Pattern Recognition. 29:1996;1233-1244.
14. Jain A.K., Vailaya A. Shape-based retrieval. a case study with trademark image database Pattern Recognition. 31(9):1998;1369-1390.
15. Kim H.K., Kim J.D. Region-based shape descriptor invariant to rotation, scale and translation. Signal Processing: Image Communication. 16:2000;87-93.
16. Kim W.Y., Kim Y.S. A region-based shape descriptor using Zernike moments. Signal Processing: Image Communication. 16:2000;95-102.
17. Lecce V.D., Guerriero A. An evaluation of the effectiveness of image features for image retrieval. J. Visual Commun. Image Representation. 10:1999;351-362.
18. J. Li, J.Z. Wang, G. Wiederhold, IRM: integrated region matching for image retrieval, in: Proceeding of ACM Multimedia, California, USA, 2000.
19. Mehrotra R., Gray J. Similar-shape retrieval in shape data management. IEEE Comput. 28:1995;57-62.
20. S.F. Mokhtarian, S. Abbasi, J. Kittler, Efficient and robust retrieval by shape content through curvature scale space, in: Proceedings of the International Workshop on Image Database and Multimedia Search, New York, USA, 1996, pp. 35-42.
21. Mukherjea S., Hrrata K. AMORE. a world wide web image retrieval system Proc. World Wide Web. 2(3):1999;115-132.
22. Natsev A., Rasto R. WALRUS. a similarity retrieval algorithm for image database SIGMOD Rec. 28(2):1999;395-406.
23. Pentland A., Picard R.W., Sclaroff S. Photobook. tools for content-based manipulation of image database Proc. SPIE. 2185:1994;34-47.
24. R.W. Picard,T. Kabir, Finding similar patterns in large image databases, in: Proc. Internat. Conf. Acoust. Speech, Signal Process., Vol. 5, 1993, pp. 162-164.
25. Y. Rubner, L.J. Guibas, C. Tomasi, The earth mover's distance, multi-dimensional scaling, and color-based image retrieval, in: Proceedings of the DARPA Image Understanding Workshop, May, 1997, pp. 661-668.
26. Y. Rubner, C. Tomasi, L.J. Guibas, A metric for distributions with applications to image databases, IEEE International Conference on Computer Vision, Bombay, India, January 1998.
27. Sikora T. The MPEG-7 visual standard for content description - an overview. IEEE Trans. Circuits Systems Video Technol. 11(6):2001;702-796.
28. Smith J.R., Chang S.F. Image classification and querying using composite region templates. Internat. J. Comput. Vision Image Understanding. 75:1999;165-174.
29. J.R. Smith, S.F. Chang, VisualSEEK: a fully automated content-based image query system, in: Proceedings of the ACM Multimedia, Boston, MA, USA, November 1996, pp. 87-98.
30. Takahashi N., Iwasaki M., Kunieda T., Wakita Y., Day N. Image retrieval using spatial intensity features. Signal Processing: Image Communication. 16:2000;45-57.
31. Wang J.Z., Li J., Wiederhold G. SIMPLIcity. semantics-sensitive integrated matching for picture libraries IEEE Trans. PAMI. 23(9):2001;1-17.
32. Wang J.Z.et al. Content-based image indexing and searching using Daubechies' Wavelets. Internat. J. Digital Libraries. 1(4):1998;311-328.
33. Zhou X.S., Huang T.S. Edge-based structural features for content-based image retrieval. Pattern Recognition Lett. 22:2001;457-468.
34. X.S. Zhou, Y. Rui, T.S. Huang, Water-Filling: a novel way for image structural feature extraction, in: Proceedings of the IEEE Conference on Image Processing, Kobe, Japan, 1999, pp. 570-574.